Procesamiento de Señales e Imagenes
Ingeniería Biomédica
Ph.D. Pablo Eduardo Caicedo Rodríguez
2024-08-12
#| echo: false
#| eval: true
#| output: false
#| label: Loading R-Libraries
# install.packages(c("DiagrammeR", "reticulate", "kableExtra", "tidyverse", "knitr", "cowplot", "ggfx"))
library("DiagrammeR")
library("reticulate")
library("kableExtra")
library("tidyverse")
library("knitr")
library("cowplot")
library("ggfx")
knitr::opts_chunk$set(echo = FALSE)
def.chunk.hook <- knitr::knit_hooks$get("chunk")
knitr::knit_hooks$set(chunk = function(x, options) {
x <- def.chunk.hook(x, options)
ifelse(options$size != "normalsize", paste0("\n \\", options$size, "\n\n", x, "\n\n \\normalsize"), x)
})Procesado de Señales e Imágenes Médicas - PSIM
Introduction
- Data acquisition is to capture the signal and encode in a form suitable for computer processing.
- Signal conditioning is to remove noise and artifacts from the signal.
- Feature extraction is to extract relevant information from the signal.
- Hypothesis testing is to test the hypothesis based on the extracted features.
